If playback doesn't begin shortly, try restarting your device.
You're signed out
Videos you watch may be added to the TV's watch history and influence TV recommendations. To avoid this, cancel and sign in to YouTube on your computer.
CancelConfirm
Switch camera
Share
An error occurred while retrieving sharing information. Please try again later.
Understanding the dataset | Preparing Dataset And Basic Analysis | Preparing Dataset For Model Training | Training The Model | Performance Metrics | Prediction Of New Data | Pickling the model file | Setting Up Github And VS Code | Tools And Software Required | Creating A New Environment | Setting up Git | Creating A FLASK Web Application | Running An Testing our application | Prediction From Front End Application | Procfile for Heroku Deployment | Deploying The App To Heroku | Deploying The App Using Dockers
Inspiring Lines From Podcast | Thiru's Career Journey | Marketing & Sales job to Data Scientist job | Why did you decide on MBA? | Reasons for taking 6 months Gap while making a job switch | Rejections from many companies | Correct path to crack Senior Data Scientist role | Full Interview Process for Lead Data Scientist role | Advantages of working in Service Based Company | Data Scientist Salary in Service-Based Companies | Difference Between Data Analysts and Data Scientists | Does a Master's Degree or Hard Core Maths required to become Data Scientist?
Introduction | AI vs ML vs DL vs Data Science | Why Deep Learning Is Becoming Popular? | Introduction To Perceptron | Working Of Perceptron With Weights And Bias | Forward Propogation,Backward Propogation And Weight Updateion Formula | Chain Rule Of Derivatives | Vanishing Gradient Problem | Different types Of Activation Functions | Different types Of Loss functions | Different type Of Optimizers | Practical Implementation OF ANN | Black Box Models VsWhite Box Models | Convolutional Neural Network | Practical Implementation Of CNN
Introduction | Descriptive Statistics | Inferential Stats | What is Statistics | Types of Statistics | Population And Sample | Sampling Teechniques | What are Variables? | Variable Measurement Scales | Mean, Median, Mode | Measure of dispersion with Variance And SD | Percentiles and Quartiles | Five number summary and boxplot | Gaussian And Normal Distribution | Stats Interview Question 1 | Finding Outliers In Python | Probability, Additive Rule, Multiplicative Rule | Permutation And combination | p value | Hypothesis testing, confidence interval, significance values | Type 1 and Type 2 error | Confidence Interval | One sample z test | one sample t test | Chi square test | Inferential stats with python | Covariance, Pearson correlation, spearman rank correlation | Deriving P values and significance value | Other types of distribution
Enroll for the Course | The Agenda | Prerequisite | Chatbots | Machine Learning | What Exactly Is Machine Learning | Main Aim of Deep Learning | Where Does Computer Vision Come into Existence | Why Deep Learning Is Becoming Popular | Why Deep Learning Is Basically Becoming Popular | What Is Web 2 0 | When Did I Start Learning Ai | Hardware Advancement | Single Layer Neural Network | Binary Classification Problem | Hidden Layer Neurons | Output Neuron | Sigmoid Activation Function | Sigmoid Activation | What Are Things We Have Learned till Now | Forward Propagation | Loss Function | What Is Loss Function | Back Propagation | Optimizers | Gradient Descent | Why Is There a Need of Neural Network